Detecting Dynamical Changes in Vital Signs using Switching Kalman Filter

Almeida, Vania and Nabney, Ian (2017) Detecting Dynamical Changes in Vital Signs using Switching Kalman Filter. [Data Collection]

Collection Method

Data collection and processing methods are detailed in the publication with the same title.

Metadata

Type of Data: Dataset
Divisions: Engineering and Applied Science > Systems Analytics Research Institute (SARI)
Data Publisher: Aston University
Funders: European Union
Projects: IPSIBIM
Grant number: 656737
Keywords: Vital signs, Switching Kalman filter, Non-stationary time series
Statement on legal, ethical and access issues: There are no legal, ethical or access issues regarding this dataset.
Date Made Available: 2 May 2017
Collection period:
FromTo
20 September 20163 February 2017
Identification Number: 10.17036/researchdata.aston.ac.uk.00000244
Publication URL: http://publications.aston.ac.uk/30552/

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